Merging upstream version 1.46.3.

Signed-off-by: Daniel Baumann <daniel.baumann@progress-linux.org>

1 files changed, 143 insertions, 0 deletions

diff --git a/src/web/api/queries/median/median.h b/src/web/api/queries/median/median.h
new file mode 100644
index 000000000..3d6d35925
--- /dev/null
+++ b/src/web/api/queries/median/median.h
@@ -0,0 +1,143 @@
+// SPDX-License-Identifier: GPL-3.0-or-later
+
+#ifndef NETDATA_API_QUERIES_MEDIAN_H
+#define NETDATA_API_QUERIES_MEDIAN_H
+
+#include "../query.h"
+#include "../rrdr.h"
+
+struct tg_median {
+    size_t series_size;
+    size_t next_pos;
+    NETDATA_DOUBLE percent;
+
+    NETDATA_DOUBLE *series;
+};
+
+static inline void tg_median_create_internal(RRDR *r, const char *options, NETDATA_DOUBLE def) {
+    long entries = r->view.group;
+    if(entries < 10) entries = 10;
+
+    struct tg_median *g = (struct tg_median *)onewayalloc_callocz(r->internal.owa, 1, sizeof(struct tg_median));
+    g->series = onewayalloc_mallocz(r->internal.owa, entries * sizeof(NETDATA_DOUBLE));
+    g->series_size = (size_t)entries;
+
+    g->percent = def;
+    if(options && *options) {
+        g->percent = str2ndd(options, NULL);
+        if(!netdata_double_isnumber(g->percent)) g->percent = 0.0;
+        if(g->percent < 0.0) g->percent = 0.0;
+        if(g->percent > 50.0) g->percent = 50.0;
+    }
+
+    g->percent = g->percent / 100.0;
+    r->time_grouping.data = g;
+}
+
+static inline void tg_median_create(RRDR *r, const char *options) {
+    tg_median_create_internal(r, options, 0.0);
+}
+static inline void tg_median_create_trimmed_1(RRDR *r, const char *options) {
+    tg_median_create_internal(r, options, 1.0);
+}
+static inline void tg_median_create_trimmed_2(RRDR *r, const char *options) {
+    tg_median_create_internal(r, options, 2.0);
+}
+static inline void tg_median_create_trimmed_3(RRDR *r, const char *options) {
+    tg_median_create_internal(r, options, 3.0);
+}
+static inline void tg_median_create_trimmed_5(RRDR *r, const char *options) {
+    tg_median_create_internal(r, options, 5.0);
+}
+static inline void tg_median_create_trimmed_10(RRDR *r, const char *options) {
+    tg_median_create_internal(r, options, 10.0);
+}
+static inline void tg_median_create_trimmed_15(RRDR *r, const char *options) {
+    tg_median_create_internal(r, options, 15.0);
+}
+static inline void tg_median_create_trimmed_20(RRDR *r, const char *options) {
+    tg_median_create_internal(r, options, 20.0);
+}
+static inline void tg_median_create_trimmed_25(RRDR *r, const char *options) {
+    tg_median_create_internal(r, options, 25.0);
+}
+
+// resets when switches dimensions
+// so, clear everything to restart
+static inline void tg_median_reset(RRDR *r) {
+    struct tg_median *g = (struct tg_median *)r->time_grouping.data;
+    g->next_pos = 0;
+}
+
+static inline void tg_median_free(RRDR *r) {
+    struct tg_median *g = (struct tg_median *)r->time_grouping.data;
+    if(g) onewayalloc_freez(r->internal.owa, g->series);
+
+    onewayalloc_freez(r->internal.owa, r->time_grouping.data);
+    r->time_grouping.data = NULL;
+}
+
+static inline void tg_median_add(RRDR *r, NETDATA_DOUBLE value) {
+    struct tg_median *g = (struct tg_median *)r->time_grouping.data;
+
+    if(unlikely(g->next_pos >= g->series_size)) {
+        g->series = onewayalloc_doublesize( r->internal.owa, g->series, g->series_size * sizeof(NETDATA_DOUBLE));
+        g->series_size *= 2;
+    }
+
+    g->series[g->next_pos++] = value;
+}
+
+static inline NETDATA_DOUBLE tg_median_flush(RRDR *r, RRDR_VALUE_FLAGS *rrdr_value_options_ptr) {
+    struct tg_median *g = (struct tg_median *)r->time_grouping.data;
+
+    size_t available_slots = g->next_pos;
+    NETDATA_DOUBLE value;
+
+    if(unlikely(!available_slots)) {
+        value = 0.0;
+        *rrdr_value_options_ptr |= RRDR_VALUE_EMPTY;
+    }
+    else if(available_slots == 1) {
+        value = g->series[0];
+    }
+    else {
+        sort_series(g->series, available_slots);
+
+        size_t start_slot = 0;
+        size_t end_slot = available_slots - 1;
+
+        if(g->percent > 0.0) {
+            NETDATA_DOUBLE min = g->series[0];
+            NETDATA_DOUBLE max = g->series[available_slots - 1];
+            NETDATA_DOUBLE delta = (max - min) * g->percent;
+
+            NETDATA_DOUBLE wanted_min = min + delta;
+            NETDATA_DOUBLE wanted_max = max - delta;
+
+            for (start_slot = 0; start_slot < available_slots; start_slot++)
+                if (g->series[start_slot] >= wanted_min) break;
+
+            for (end_slot = available_slots - 1; end_slot > start_slot; end_slot--)
+                if (g->series[end_slot] <= wanted_max) break;
+        }
+
+        if(start_slot == end_slot)
+            value = g->series[start_slot];
+        else
+            value = median_on_sorted_series(&g->series[start_slot], end_slot - start_slot + 1);
+    }
+
+    if(unlikely(!netdata_double_isnumber(value))) {
+        value = 0.0;
+        *rrdr_value_options_ptr |= RRDR_VALUE_EMPTY;
+    }
+
+    //log_series_to_stderr(g->series, g->next_pos, value, "median");
+
+    g->next_pos = 0;
+
+    return value;
+}
+
+#endif //NETDATA_API_QUERIES_MEDIAN_H